Image edge detection using improved PCNN model

被引：0
作者：
Di, Lan [1 ]
Lin, Yi [1 ]
机构：
[1] So Yangtze Univ, Sch Informat Technol, Wuxi 214122, Peoples R China
来源：
DCABES 2006 PROCEEDINGS, VOLS 1 AND 2 | 2006年
关键词：
region area; PCNN; edge detection; noise;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
A calculated method is proposed which uses the region areas to modulate the pulse of the corresponding neurons in PCNN. The edge detection for the blurred Image with noise can reduce the noise and obtain a precise edge value of the image. First, based on the analysis of the difference between the edge pixels and the noise pixels, it proposed a method, which suppresses the noise by the region areas. Second, it suggested that image segmentation uses the pulse of the corresponding neurons in PCNN. The experimental results show that this method is effective and feasible.
引用
收藏
页码：748 / 750
页数：3
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